Specifications Compared
| Spec | QUADRO-P5000 | RTX-PRO-6000-BLACKWELL |
|---|---|---|
| TDP | 180W | 400W |
| VRAM | 16 GB | 96 GB |
| CUDA Cores | 2,560 | 21,760 |
| Memory Type | GDDR5X | GDDR7 |
| Architecture | Pascal | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 8.9 TFLOPS | 125 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 125 TFLOPS |
| Memory Bandwidth | 288 GB/s | 1,792 GB/s |
Performance Analysis
Compute performance differs vastly: the RTX PRO 6000 achieves 125 TFLOPS in FP32 and FP16, dwarfing the Quadro P5000's 8.9 TFLOPS in each. This gap accelerates machine learning training, where FP32 manages model parameters and FP16 speeds tensor computations, enabling the newer GPU to complete epochs in a fraction of the time.
The P5000's equal FP16 and FP32 rates reflect Pascal's lack of dedicated tensor cores, limiting AI efficiency compared to Blackwell's optimized FP8 at 2000 TFLOPS for inference. Memory bandwidth of 1792 GB/s on the RTX PRO 6000 versus 288 GB/s supports larger batch sizes, reducing per-sample latency in training large models and improving utilization.
Higher TDP of 400W on the RTX PRO 6000 demands robust cooling, but yields superior throughput for data-intensive tasks.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro P5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | Amsterdam | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
![]() Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
![]() Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
![]() Paperspace | NVIDIA Quadro P5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.78/GPU/hr | Available | ||
![]() Paperspace | NVIDIA Quadro P5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.78/GPU/hr | Available |
RTX PRO 6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
VERDA | 2×NVIDIA RTX PRO 6000 Blackwell 96GB VRAM | 96GB | 60 vCPU 180GB RAM | Helsinki | $1.89/GPU/hr $3.78/hr total (2×) | Available | ||
VERDA | NVIDIA RTX PRO 6000 Blackwell 96GB VRAM | 96GB | 30 vCPU 90GB RAM | Helsinki | $1.89/GPU/hr | Available |
When to Choose the Quadro P5000
The Quadro P5000 excels in legacy software tied to Pascal architecture, such as older CAD or visualization tools. Its 180W TDP suits power-limited servers, and average pricing of $0.78/hr across six cloud offers provides economical access for non-AI workloads not exceeding 16 GB VRAM.
When to Choose the RTX PRO 6000
The RTX PRO 6000 dominates modern AI and rendering pipelines requiring vast memory. With 96 GB VRAM and 1792 GB/s bandwidth, it handles large language models effectively; NVLink enables multi-GPU scaling. Despite average $1.25/hr pricing, starting from $0.59/hr justifies it for high-throughput tasks leveraging 125 TFLOPS FP32.
Use Cases
RTX PRO 6000's 96 GB VRAM and 1792 GB/s bandwidth accommodate massive models with large batches. Its 125 TFLOPS FP16 outperforms P5000's 8.9 TFLOPS by over 14 times.
2000 TFLOPS FP8 and 125 TFLOPS FP16 enable low-latency serving of large models. High bandwidth of 1792 GB/s supports high concurrency beyond P5000's 288 GB/s.
Blackwell's tensor optimizations and 96 GB VRAM handle parameter-efficient tuning efficiently. P5000's 16 GB limits model sizes.
125 TFLOPS FP32 accelerates diffusion steps rapidly; 96 GB VRAM fits high-resolution generations. P5000 struggles with 8.9 TFLOPS.
P5000 suffices for FP32-bound simulations at 8.9 TFLOPS with low 180W TDP. RTX PRO 6000 excels in memory-intensive parallel tasks with 125 TFLOPS.
Frequently Asked Questions
What is the VRAM difference between Quadro P5000 and RTX PRO 6000?▾
The Quadro P5000 has 16 GB GDDR5X VRAM. The RTX PRO 6000 provides 96 GB GDDR7 VRAM, enabling six times more capacity for large datasets.
How do FP32 performances compare?▾
Quadro P5000 delivers 8.9 TFLOPS FP32. RTX PRO 6000 reaches 125 TFLOPS FP32, a 14-fold improvement for compute-heavy tasks.
What are the current cloud prices?▾
Quadro P5000 averages $0.78/hr across six offers, starting from $0.78/hr. RTX PRO 6000 averages $1.25/hr across five offers, starting from $0.59/hr.
Does RTX PRO 6000 support NVLink?▾
Yes, RTX PRO 6000 includes NVLink for multi-GPU communication. Quadro P5000 lacks specified interconnect beyond PCIe.
What are the TDPs?▾
Quadro P5000 has a 180W TDP. RTX PRO 6000 requires 400W, demanding stronger power and cooling infrastructure.
Which architecture is newer?▾
Quadro P5000 uses Pascal from 2016. RTX PRO 6000 employs Blackwell from 2025, with advanced AI features like 2000 TFLOPS FP8.
Which is cheaper to rent, the Quadro P5000 or the RTX PRO 6000?▾
Cloud rental prices for both the Quadro P5000 and RTX PRO 6000 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the Quadro P5000 have compared to the RTX PRO 6000?▾
The Quadro P5000 has 16 GB of GDDR5X memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.
Can I find Quadro P5000 and RTX PRO 6000 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the Quadro P5000 and the RTX PRO 6000?▾
The Quadro P5000 uses the Pascal architecture (2016) while the RTX PRO 6000 uses Blackwell (2025). The RTX PRO 6000 delivers 14.0x the FP16 throughput and 6.2x the memory bandwidth of the Quadro P5000.
